SourceForge is a B2B software discovery platform, featuring 4000+ categories in its comparison engine that potential buyers can use to compare software by user reviews, features, pricing, integrations, operating system, and deployment.
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TensorFlow
Score7.6 out of 10
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TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
I recommend SourceForge to anyone or business that needs both commercial and open source software. This platform has a wide variety of software with many categories that allow easy search for any project, in addition to the fact that searches can be done separately (commercial and open source software) so as not to have mixed results which go with different purpose. In addition to the fact that the community of this platform is quite active and that there are always times to discover new projects that can be useful for a company or individual person.
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The overall design that SourceForge has really leaves a lot to be desired, although the entire platform works perfectly, I think that the design should be much more attractive.
There is currently no feature to save your progress on a review you are writing, so if you are writing a review and the browser is closed for some reason, all progress of the written review will be lost.
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
Souceforge was very straightforward and easy to manage. The leads worked for us so there is not a lot else to say about why I'd use it again. This isn't some complicated software product, it is a simple inbound marketing channel that is meant to generate leads and help us with brand awareness and it did exactly that.
SourceForge is super easy to use and very intuitive. And their support team and campaign managers help whenever we need it. Using SourceForge as a user is easy, and administrating a business software listing is easy as well. They also have great documentation.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We've never had any issues or downtime with SourceForge. Since we've been a user, the platform has never been down. Or at least never that I've noticed.
SourceForge loads extremely quickly whether you're using the front end or administrating your product listing on the back end. All pages are snappy to load--no issues with page speed whatsoever.
I hardly ever use the support on SourceForge, as I have not needed it. Their product works well for me. One time I had to email them and they got back to me the same day, but that's my only experience.
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
When we first signed up, they pair you with a campaign manager who trained us on how to use the product properly. The product is simple so the training was only about 30 minutes and after that we understood all the features and how to make the most of it. Most of the work came with making a custom landing page and building a follow up process for our sales team.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
G2 has a larger commitment time upfront and for a more expensive rate, which wasn't the best option for our team as we were just exploring the resources that existed out there at the time. We preferred Sourceforge as well due to its subscription service, making it easier to commit from the start.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SourceForge has been plenty scalable for us. Our marketing department is able to edit listings and our executives can also log in to the platform if need be for leads and reporting information. SourceForge offers multiple user access and role permissions, so it's pretty scalable and easy to use for our entire team.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
